公共卫生政策和保健质量对英国性别差距和国家预期寿命差异的贡献。

IF 3.2 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Population Health Metrics Pub Date : 2021-10-20 DOI:10.1186/s12963-021-00271-2
Kasim Allel, Franceso Salustri, Hassan Haghparast-Bidgoli, Ali Kiadaliri
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引用次数: 8

摘要

背景:在许多高收入国家,预期寿命(LE)有所增加,女性寿命超过男性。这种LE (gle)的性别差距可以用生物学因素、健康行为、健康状况和社会人口特征来解释,但很少有人注意到包括/影响这些因素的公共卫生政策的作用。本研究旨在评估可避免的死亡原因的贡献,作为公共卫生政策和医疗保健质量影响的衡量标准,对英国的gle及其时间变化。我们还估计了可避免的死亡原因对英国国家间死亡率差距的贡献。方法:我们从世界卫生组织死亡率数据库中获取2001-2003年和2014-2016年期间按年龄和性别划分的潜在死亡原因的年度数据。我们使用简化生命表计算出生时的LE。我们采用Arriaga的分解方法计算了各时期gle的年龄和原因特定贡献及其两个时期之间的变化,以及2014-2016年期间LE的跨国差距。结果:在这两个时期,可避免的原因对英国gle的贡献大于不可避免的原因(2001-2003年为62%,2014-2016年为54%)。在可避免的原因中,缺血性心脏病(IHD)紧随其后的伤害对两个时期的gle贡献最大。平均而言,在2001-2003年和2014-2016年之间,英国的gle缩小了约1.0年,而三种可避免的IHD原因,肺癌和伤害约占这一减少的0.8年。2014-2016年,英格兰和威尔士的男女平均寿命最高。在可避免的原因中,与北爱尔兰相比,男性受伤和女性肺癌对英格兰和威尔士的LE优势贡献最大,而与苏格兰相比,与药物有关的死亡在两性中都是如此。结论:由于可避免的原因,特别是可预防的死亡,在很大程度上造成了性别和跨国家的LE差距,我们的研究结果表明,需要通过实施有针对性的公共卫生计划来改变行为,特别是针对苏格兰和北爱尔兰的年轻男性。
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The contributions of public health policies and healthcare quality to gender gap and country differences in life expectancy in the UK.

Background: In many high-income countries, life expectancy (LE) has increased, with women outliving men. This gender gap in LE (GGLE) has been explained with biological factors, healthy behaviours, health status, and sociodemographic characteristics, but little attention has been paid to the role of public health policies that include/affect these factors. This study aimed to assess the contributions of avoidable causes of death, as a measure of public health policies and healthcare quality impacts, to the GGLE and its temporal changes in the UK. We also estimated the contributions of avoidable causes of death into the gap in LE between countries in the UK.

Methods: We obtained annual data on underlying causes of death by age and sex from the World Health Organization mortality database for the periods 2001-2003 and 2014-2016. We calculated LE at birth using abridged life tables. We applied Arriaga's decomposition method to compute the age- and cause-specific contributions into the GGLE in each period and its changes between two periods as well as the cross-country gap in LE in the 2014-2016 period.

Results: Avoidable causes had greater contributions than non-avoidable causes to the GGLE in both periods (62% in 2001-2003 and 54% in 2014-2016) in the UK. Among avoidable causes, ischaemic heart disease (IHD) followed by injuries had the greatest contributions to the GGLE in both periods. On average, the GGLE across the UK narrowed by about 1.0 year between 2001-2003 and 2014-2016 and three avoidable causes of IHD, lung cancer, and injuries accounted for about 0.8 years of this reduction. England & Wales had the greatest LE for both sexes in 2014-2016. Among avoidable causes, injuries in men and lung cancer in women had the largest contributions to the LE advantage in England & Wales compared to Northern Ireland, while drug-related deaths compared to Scotland in both sexes.

Conclusion: With avoidable causes, particularly preventable deaths, substantially contributing to the gender and cross-country gaps in LE, our results suggest the need for behavioural changes by implementing targeted public health programmes, particularly targeting younger men from Scotland and Northern Ireland.

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来源期刊
Population Health Metrics
Population Health Metrics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
6.50
自引率
0.00%
发文量
21
审稿时长
29 weeks
期刊介绍: Population Health Metrics aims to advance the science of population health assessment, and welcomes papers relating to concepts, methods, ethics, applications, and summary measures of population health. The journal provides a unique platform for population health researchers to share their findings with the global community. We seek research that addresses the communication of population health measures and policy implications to stakeholders; this includes papers related to burden estimation and risk assessment, and research addressing population health across the full range of development. Population Health Metrics covers a broad range of topics encompassing health state measurement and valuation, summary measures of population health, descriptive epidemiology at the population level, burden of disease and injury analysis, disease and risk factor modeling for populations, and comparative assessment of risks to health at the population level. The journal is also interested in how to use and communicate indicators of population health to reduce disease burden, and the approaches for translating from indicators of population health to health-advancing actions. As a cross-cutting topic of importance, we are particularly interested in inequalities in population health and their measurement.
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